Natural Language Processing and Computational Linguistics

Installation – how and why?

How you choose to load your models is a matter of personal preference and the type of project you are working on. For example, with larger code bases, native imports are usually recommended, as this will make it easier to integrate models with your existing build process, continuous integration workflow, and testing framework. You can also add the model in your requirements.txt file like any other library or module being used in your project. Note that a requirements file is a standard feature in most Python projects. The documentation page [18] explains it in more detail. It'll also prevent you from ever trying to load a model that is not installed, as your code will raise an ImportError error immediately, instead ...